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  <titleInfo>
    <title>Dirichlet and Related Distributions</title>
    <subTitle>Theory, Methods and Applications</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Ng, Kai Wang</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Tian, Guo-Liang</namePart>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Tang, Man-Lai</namePart>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">nju</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Hoboken, N.J</placeTerm>
    </place>
    <publisher>Wiley</publisher>
    <dateIssued>2011</dateIssued>
    <copyrightDate encoding="marc">2011</copyrightDate>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>310 p.</extent>
  </physicalDescription>
  <abstract>"This book provides a comprehensive review on the Dirichlet distribution including its basic properties, marginal and conditional distributions, cumulative distribution and survival functions.  The authors provide insight into new materials such as survival function, characteristic functions for two uniform distributions over the hyper-plane and simplex distribution for linear function of Dirichlet components estimation via the expectation-maximization gradient algorithm and application. Two new families of distributions (GDD and NDD) are explored, with emphasis on applications in incomplete categorical data and survey data with non-response.  Theoretical results on inverted Dirichlet distribution and its applications are featured along with new results that deal with truncated Dirichlet distribution, Dirichlet process and smoothed Dirichlet distribution. The final chapters look at results gathered for Dirichlet-multinomial distribution, Generalized Dirichlet distribution, Liouville distribution, generalized Liouville distribution and matrix-variate Dirichlet distribution"--</abstract>
  <tableOfContents>HKBU library</tableOfContents>
  <note type="statement of responsibility">Kai Wang Ng, Guo-Liang Tian, Man-Lai Tang.</note>
  <note type="venue">YT2025 M10</note>
  <subject authority="lcsh">
    <topic>Distribution (Probability theory)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Dirichlet problem</topic>
  </subject>
  <subject authority="">
    <topic>MATHEMATICS / Probability &amp; Statistics / General</topic>
  </subject>
  <classification authority="lcc">QA276 N576 D 2011</classification>
  <relatedItem type="series">
    <titleInfo>
      <title>Wiley series in probability and statistics</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9780470688199</identifier>
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    <recordContentSource authority="marcorg">SDU</recordContentSource>
    <recordCreationDate encoding="marc">101217</recordCreationDate>
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